Bilibili Follower Growth in Practice: The Underlying Logic of Daily Posting and Follow-for-Follow

An Indian creator breaks down Bilibili follower growth, exposing newbies' misconception that daily posting and follow-for-follow are everything.
The article analyzes a short video by an Indian creator about growing followers on Bilibili. The video offers two core suggestions: log in daily to stay active and post one to two pieces of content every day, plus a call for follow-for-follow. The article notes these basic actions have their rationale—daily posting keeps recommendation opportunities coming, and follow-for-follow helps cold starts—but follow-for-follow followers don't contribute completion rate or interaction, offering limited help to the recommendation algorithm. The video itself is thin on information and ignores factors that truly affect recommendations, such as topic selection, thumbnails, titles, and first-few-seconds retention. The article concludes with additional advice: fix a sustainable posting rhythm, study similar hit videos, and value comment-section management, emphasizing there are no shortcuts to follower growth—continuously providing content viewers are willing to finish and share is the key.
In content creation on Bilibili, growing your follower count is the topic every creator cares about most. Recently, an Indian creator named Bheemsen (channel name Bheemsen 2.0) posted a short video about growing followers on Bilibili. Although the language is Hindi, the content plainly breaks down the growth path as he understands it. The video itself isn't particularly information-dense, yet it neatly captures a common confusion among many new creators: how exactly do you achieve growth on Bilibili?
A caveat first: the following analysis is based on the original statements in the video, extended with interpretation drawing on Bilibili's publicly known product logic. The advice in the video leans toward basic actions and is suitable for complete beginners.
Step One to Growing Followers: Account and Tool Preparation
The first thing the video repeatedly emphasizes is getting the Bilibili client installed. The creator mentions that if you haven't downloaded Bilibili yet, you should watch a previous video of his and complete the download there. This detail seems trivial, but it actually points to an often-overlooked prerequisite: most discussions about "how to grow followers" assume you're already an active user.
For newcomers, registering an account, completing your avatar and bio, and getting familiar with the difference between the homepage recommendations and the feed page are the foundation for all subsequent operational actions. The more complete your account information, the easier it is for other users to judge whether you're worth following when they visit your profile.

Daily Posting and Logging In: The Video's Two Core Suggestions
The specific methods this creator offers boil down to just two.
Log In Daily to Stay Active
He states explicitly that after setting up your account, you should "log in every day." This advice has practical meaning in the Bilibili context: continuous login means the account is in an active state, users can see the latest recommended content, and it's easier to participate in comments and interactions. For people who treat Bilibili as their main content platform, opening the client every day is itself part of running the account.
Post at Least One Piece of Content Every Day
The second suggestion is to post one to two pieces of content every day. The gist of the video's original words is "post one or two a day, just keep at it every day like this." This is in fact the most plain and also the hardest-to-execute rule in the content industry: posting frequency directly determines exposure opportunities. Bilibili's recommendation mechanism gives newly published content a certain amount of initial traffic, and the more consistently you post, the more continuous the opportunities your account has to be recommended.

Bilibili's recommendation mechanism centers on an "initial traffic pool + data feedback" model: after a new video is published, it is first pushed to a small group of users who may be interested, and the system decides whether to push the video into a larger traffic pool based on this group's interaction data such as completion rate, likes, coins, favorites, comments, and shares. Therefore, the importance of consistent updates lies not only in increasing exposure counts but also in keeping the account continuously generating data samples that the algorithm can evaluate; once a piece of content performs outstandingly in its data, subsequent works are also more likely to receive recommendation weighting. Conversely, long-term gaps in posting reduce account activity, and new works often receive less initial recommendation volume.
Follow-for-Follow Growth: Effective but Limited
The video title includes "follow for follow back," i.e., mutual following. At the end, the creator also directly calls on viewers to follow his channel (channel name Bheemsen Munda 37), saying "if you're watching this video of mine, you must follow me."
Follow-for-follow does exist on Bilibili, commonly seen among new uploaders. It can quickly pull follower counts from zero to double digits and brings psychological positive feedback. But its limitations are equally obvious: followers gained through follow-for-follow usually don't seriously watch your content and don't contribute completion rate or interaction—and these two are exactly the signals Bilibili's recommendation algorithm values. Accounts propped up by follow-for-follow often quickly hit a bottleneck when content quality doesn't improve in tandem.
A more pragmatic approach is to treat follow-for-follow as an auxiliary tactic during the cold-start phase, not as a growth strategy in itself. What truly determines how far an account can go is still whether the content makes strangers willing to actively click follow.

Completion rate refers to the proportion of a video's total duration that viewers actually watch, and is one of the higher-weighted metrics in Bilibili's recommendation algorithm, usually combining with like rate, comment rate, coin rate, favorite rate, and share rate to form the evaluation signals for content quality. Follow-for-follow followers often just click follow without watching videos in full, which drags down the account's overall completion data, leading the algorithm to judge the content as insufficiently attractive and thus reduce subsequent recommendations. By contrast, only natural viewers from the recommendation page who are willing to watch to the end and interact can send positive signals to the algorithm and help the video enter a larger traffic pool.
The Newbie Misconceptions This Video Exposes
Judging from its content structure, this video is more like a casually recorded talking-head clip with no script, where the information consists mainly of repeated verbal emphasis. It represents a typical kind of newbie content: abundant enthusiasm, thin methodology.
Reducing follower growth to "log in daily, post daily, follow for follow" ignores the factors that truly affect recommendations: topic selection, thumbnails, titles, and retention in the first few seconds. For creators just starting out, these basic actions can be done, but they shouldn't be treated as everything.
There's another detail in the video worth noting: at the very beginning, the creator asks viewers to like the video to support him in continuing to make videos. This kind of direct interaction prompt is very common on Bilibili and isn't a problem in itself, but if the content doesn't provide commensurate value, the effect of the prompt will be very limited.

"Retention in the first few seconds" refers to whether viewers continue watching within the first few seconds of a video, which directly determines the starting point of the completion rate. Bilibili focuses on medium- and long-form videos; after users see the thumbnail and title on the recommendation page and click in, if the opening doesn't quickly deliver a highlight, suspense, or clear value, they can easily swipe away within seconds, causing a low completion rate and prompting the algorithm to shrink recommendations. A common practice is to state the conclusion directly at the opening, show a conflict scene, or pose a question viewers care about—putting the most attractive information up front rather than opening with lengthy self-introductions or setup.
Additional Advice for Newcomers
If you want to add to the two suggestions the video offers, you can start from three directions.
First, upgrade "post every day" to "post with a rhythm." Rather than posting low-quality content just to keep a daily schedule, it's better to fix a sustainable frequency so viewers form expectations.
Second, study the hit videos of similar accounts. Bilibili's recommendation page and category rankings are free learning materials; observing the thumbnail and title structures of high-view videos is more efficient than blindly posting daily.
Third, value the comment section. Bilibili's comment section is an important part of the community atmosphere; replying seriously to comments can boost fan loyalty and may also bring extra exposure.
There are no shortcuts to growing followers. Daily posting and interaction are necessary basic actions, but what truly drives account growth is continuously providing content that viewers are willing to watch to the end and willing to share. The value of this Hindi video doesn't lie in how brilliant a strategy it offers, but in how honestly it shows the most authentic starting point of a new creator.
Related articles

An African Journey Surrounded by Snakes: A Bilibili Creator's Thrilling Adventure
Bilibili creator shares an African adventure video, claiming to be surrounded by hundreds of snakes, crossing cloud-shrouded mountains, encountering lions, leopards, and hippos on safari, and documenting curious roadside sights, prompting reflection on natural wonders.

Cities: Skylines 2 Forestry & Industry Road Network Guide
Starting from the design of forestry and industrial small roads in Cities: Skylines 2, this analyzes hierarchical road network planning to help players solve logistics congestion in industrial zones.

LangGraph vs CrewAI vs PydanticAI: A Guide to Choosing Among Four Major Agent Frameworks
A code-level comparison of LangGraph, CrewAI, PydanticAI, and OpenAI Agents SDK: their architectural positioning, four implementations of the same support triage task, and a production selection decision matrix.